XCel Brands (XELB) Selling, General & Administrative (2011 - 2026)
XCel Brands' Selling, General & Administrative was $1.02 million in Q2 2026, up 11.4% from $912,000 a year earlier.
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Analysis
XCel Brands (XELB) Selling, General & Administrative (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, XCel Brands' Selling, General & Administrative was $4.47 million through Jun 30, 2026, down 17.8% year-over-year; for FY2025, it came in at $4.65 million, down 32.1% from FY2024.
- Selling, General & Administrative has now declined for three consecutive years, with a five-year compound annual growth rate of -13.8% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $6.84 million in FY2024 (-48.4%), $13.26 million in FY2023 (-18.5%), $16.28 million in FY2022 (+13.3%) and $14.36 million in FY2021 (+47.4%).
- Quarterly Selling, General & Administrative has moved between $912,000 (Q2 2025) and $4.95 million (Q4 2022) over five years.
- Compared with a year earlier, Selling, General & Administrative was higher in 1 of the last seven quarters, with an average decline of 31.2%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q4 2021 (growth of 84.3%); the worst was Q3 2024 (a decline of 53.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 3.91 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 1.12 Bn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 1.08 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 1.01 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 843.40 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 193.84 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | -37.80 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 415.03 Mn |
| 10 | XCel Brands | 4.27 Mn | -1.88 Mn | - | 1.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.02 Mn |
| Dec 31, 2025 | 1.32 Mn |
| Sep 30, 2025 | 1.21 Mn |
| Jun 30, 2025 | 912,000.00 |
| Mar 31, 2025 | 1.20 Mn |
| Dec 31, 2024 | 1.71 Mn |
| Sep 30, 2024 | 1.62 Mn |
| Jun 30, 2024 | 1.49 Mn |
| Mar 31, 2024 | 2.03 Mn |
| Dec 31, 2023 | 3.34 Mn |
| Sep 30, 2023 | 3.48 Mn |
| Jun 30, 2023 | 2.94 Mn |
| Mar 31, 2023 | 3.49 Mn |
| Dec 31, 2022 | 4.95 Mn |
| Sep 30, 2022 | 3.62 Mn |
| Jun 30, 2022 | 4.29 Mn |
| Mar 31, 2022 | 3.42 Mn |
| Dec 31, 2021 | 4.77 Mn |
| Sep 30, 2021 | 3.46 Mn |
| Jun 30, 2021 | 3.09 Mn |
API Access
XCel Brands Selling, General & Administrative API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=XELB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "XELB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=XELB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();